This book provides a retrospective look at major developments as well as a prospective view of future directions in factor analysis. In so doing, it demonstrates how and why factor analysis is considered to be one of the methodological pillars of behavioral research. Featuring an outstanding collection of contributors, this volume offers unique insights on factor analysis and its related methods. The book reviews some of the extensions of factor analysis to such techniques as latent growth curve models, models for categorical data, and structural equation models. Intended for graduate students…mehr
This book provides a retrospective look at major developments as well as a prospective view of future directions in factor analysis. In so doing, it demonstrates how and why factor analysis is considered to be one of the methodological pillars of behavioral research. Featuring an outstanding collection of contributors, this volume offers unique insights on factor analysis and its related methods. The book reviews some of the extensions of factor analysis to such techniques as latent growth curve models, models for categorical data, and structural equation models. Intended for graduate students and researchers in the behavioral, social, health, and biological sciences who use this technique in their research, a basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful.
Contents: Preface. D. Bartholomew Three Faces of Factor Analysis. L. Jones Remembering L. L. Thurstone. R.D. Bock Rethinking Thurstone. K. J"reskog Factor Analysis and Its Extensions. K. Bollen On the Origins of the Latent Curve Model in the Factor Analysis and Growth Curve Traditions. J. McArdle Factor Analysis of Longitudinal Repeated Measures Data. R. Millsap W. Meredith Factorial Invariance: Historical Trends and New Problems. R. MacCallum M.W. Browne L. Cai Factor Analysis Models as Approximations. K.F. Widaman Common Factors vs. Components: Principals and Principles Errors and Misconceptions. J. Horn Understanding Human Intelligence: Where Have We Come Since Spearman? J.R. Nesselroade Factoring at the Individual Level: Some Matters for the Second Century of Factor Analysis. M.W. Browne G. Zhang Developments in the Factor Analysis of Individual Time Series. I. Moustaki Factor Analysis and Latent Structure of Categorical and Metric Data. R. Jennrich Rotation Methods Algorithms and Standard Errors. M. Wall Y. Amemiya A Review of Nonlinear Factor Analysis and Nonlinear Structural Equation Modeling.
Contents: Preface. D. Bartholomew Three Faces of Factor Analysis. L. Jones Remembering L. L. Thurstone. R.D. Bock Rethinking Thurstone. K. J"reskog Factor Analysis and Its Extensions. K. Bollen On the Origins of the Latent Curve Model in the Factor Analysis and Growth Curve Traditions. J. McArdle Factor Analysis of Longitudinal Repeated Measures Data. R. Millsap W. Meredith Factorial Invariance: Historical Trends and New Problems. R. MacCallum M.W. Browne L. Cai Factor Analysis Models as Approximations. K.F. Widaman Common Factors vs. Components: Principals and Principles Errors and Misconceptions. J. Horn Understanding Human Intelligence: Where Have We Come Since Spearman? J.R. Nesselroade Factoring at the Individual Level: Some Matters for the Second Century of Factor Analysis. M.W. Browne G. Zhang Developments in the Factor Analysis of Individual Time Series. I. Moustaki Factor Analysis and Latent Structure of Categorical and Metric Data. R. Jennrich Rotation Methods Algorithms and Standard Errors. M. Wall Y. Amemiya A Review of Nonlinear Factor Analysis and Nonlinear Structural Equation Modeling.
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